Paper Citation Record · LEDGER

From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2411.03590.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.03590 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:14:42.354652Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-15T14:51:08.424499Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8b39e230-53a2-4dc3-9e93-9b6ad00598cd · inbound

Mastering Board Games by External and Internal Planning with Language Models cites this paper.

Mastering Board Games by External and Internal Planning with Language Models From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T00:59:58.982185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 529baa3a-3490-44ce-b83e-71ec15fd6ef7 · inbound

HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs cites this paper.

HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-15T12:36:50.259010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 47d0cea9-dbef-4966-854a-5670385e56ae · inbound

Can OpenAI o1 Reason Well in Ophthalmology? A 6,990-Question Head-to-Head Evaluation Study cites this paper.

Can OpenAI o1 Reason Well in Ophthalmology? A 6,990-Question Head-to-Head Evaluation Study From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T18:33:34.267091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6b375b5-9210-4511-9bf1-7617172adc4a · inbound

Prejudge-Before-Think: Enhancing Large Language Models at Test-Time by Process Prejudge Reasoning cites this paper.

Prejudge-Before-Think: Enhancing Large Language Models at Test-Time by Process Prejudge Reasoning From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-16T12:14:42.354652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31daaaa7-af17-491b-a9cb-9bf932f12744 · inbound

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization cites this paper.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:11.099070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b650fda-bb19-4620-ab97-679619e38ea1 · inbound

A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment cites this paper.

A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T21:09:42.319096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e988c9fd-a9fc-4a70-80cb-4fd7071f6588 · inbound

DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language Models cites this paper.

DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language Models From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:22.658240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f56d778c-12a3-4b81-9ffb-1527464a1378 · inbound

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP cites this paper.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:34.627799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13fa9db0-d181-4d40-b6b8-b06da1206676 · inbound

Teaching large language models to reason like expert diagnosticians cites this paper.

Teaching large language models to reason like expert diagnosticians From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T16:43:19.424876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5f3dbd8-d400-40e3-800a-856135b2a7d2 · inbound

How people use Copilot for Health cites this paper.

How people use Copilot for Health From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:51:08.427000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.